Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping

A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil

(2021) Navid Kardani et al.   ENGINEERING WITH COMPUTERS

Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

(2021) Panagiotis G. Asteris et al.   Transportation Geotechnics

Estimating unconfined compressive strength of unsaturated cemented soils using alternative evolutionary approaches

(2021) Navid Kardani et al.   Transportation Geotechnics

Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India

(2021) Sunil Saha et al.   ADVANCES IN SPACE RESEARCH

Predicting methane solubility in water and seawater by machine learning algorithms: Application to methane transport modeling

(2021) Reza Taherdangkoo et al.   JOURNAL OF CONTAMINANT HYDROLOGY

Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran

(2020) Alireza Arabameri et al.   Remote Sensing

Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

(2020) Viet-Ha Nhu et al.   CATENA

Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

(2020) Dieu Tien Bui et al.   CATENA

Comparative study of landslide susceptibility mapping with different recurrent neural networks

(2020) Yi Wang et al.   COMPUTERS & GEOSCIENCES

Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya

(2020) Sunil Saha et al.   Applied Sciences-Basel

Application of statistical probabilistic methods in landslide susceptibility assessment in Kurseong and its surrounding area of Darjeeling Himalayan, India: RS-GIS approach

(2020) Anik Saha et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

(2020) Zhice Fang et al.   COMPUTERS & GEOSCIENCES

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models

(2020) Hamid Reza Pourghasemi et al.   PLoS One

Integration of artificial intelligence with Meta classifiers for the gully erosion susceptibility assessment in Hinglo river basin, Eastern India

(2020) Jagabandhu Roy et al.   ADVANCES IN SPACE RESEARCH

Pathways and challenges of the application of artificial intelligence to geohazards modelling

(2020) Abhirup Dikshit et al.   GONDWANA RESEARCH

Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region

(2020) Yaning Yi et al.   CATENA

Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field data

(2020) Navid Kardani et al.   Journal of Rock Mechanics and Geotechnical Engineering

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal

(2019) Sansar Meena et al.   ISPRS International Journal of Geo-Information

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms

(2019) Alireza Arabameri et al.   Journal of Mountain Science

Spatial modelling of gully headcuts using UAV data and four best-first decision classifier ensembles (BFTree, Bag-BFTree, RS-BFTree, and RF-BFTree)

(2019) Mohsen Hosseinalizadeh et al.   GEOMORPHOLOGY

PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches

(2019) Omid Rahmati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

(2019) Yi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China

(2019) Guoli Zhang et al.   International Journal of Disaster Risk Science

Recent advances and applications of machine learning in solid-state materials science

(2019) Jonathan Schmidt et al.   npj Computational Materials

Performance Evaluation of the GIS-Based Data-Mining Techniques Decision Tree, Random Forest, and Rotation Forest for Landslide Susceptibility Modeling

(2019) Soyoung Park et al.   Sustainability

The added value of a regional landslide susceptibility assessment: The western branch of the East African Rift

(2019) Arthur Depicker et al.   GEOMORPHOLOGY

A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India

(2019) Jagabandhu Roy et al.   Remote Sensing

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

(2018) Haoyuan Hong et al.   CATENA

A review of statistically-based landslide susceptibility models

(2018) Paola Reichenbach et al.   EARTH-SCIENCE REVIEWS

Modification of landslide susceptibility mapping using optimized PSO-ANN technique

(2018) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Groundwater Potential Mapping in a Rural River Basin by Union (OR) and Intersection (AND) of Four Multi-criteria Decision-Making Models

(2018) Susanta Mahato et al.   Natural Resources Research

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

(2018) Binh Thai Pham et al.   CATENA

Susceptibility assessment of landslides triggered by earthquakes in the Western Sichuan Plateau

(2018) Juan Cao et al.   CATENA

Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy)

(2017) M. Cama et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China

(2017) Guo-liang Du et al.   Journal of Mountain Science

Multivariate alternating decision trees

(2016) Hong Kuan Sok et al.   PATTERN RECOGNITION

Investigation of automatic feature weighting methods (Fisher, Chi-square and Relief-F) for landslide susceptibility mapping

(2016) Emrehan Kutlug Sahin et al.   Geocarto International

Comparison of decision tree algorithms for EMG signal classification using DWT

(2015) Ercan Gokgoz et al.   Biomedical Signal Processing and Control

Landslide susceptibility mapping in Mizunami City, Japan: A comparison between logistic regression, bivariate statistical analysis and multivariate adaptive regression spline models

(2015) Liang-Jie Wang et al.   CATENA

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

Hydrological factors affecting rainfall-induced shallow landslides: From the field monitoring to a simplified slope stability analysis

(2015) M. Bordoni et al.   ENGINEERING GEOLOGY

A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network

(2015) Liang-Jie Wang et al.   GEOSCIENCES JOURNAL

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Rainfall intensity–duration conditions for mass movements in Taiwan

(2015) Chi-Wen Chen et al.   Progress in Earth and Planetary Science

Morphometry and land cover based multi-criteria analysis for assessing the soil erosion susceptibility of the western Himalayan watershed

(2014) Sadaff Altaf et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district

(2014) Taskin Kavzoglu et al.   NATURAL HAZARDS

Recommendations for the quantitative analysis of landslide risk

(2013) J. Corominas et al.   Bulletin of Engineering Geology and the Environment

Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models

(2013) Shinji Fukuda et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Producing a landslide inventory map using pixel-based and object-oriented approaches optimized by Taguchi method

(2013) Vahid Moosavi et al.   GEOMORPHOLOGY

Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network

(2013) Mutasem Sh. Alkhasawneh et al.   TheScientificWorldJOURNAL

Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea

(2012) Soyoung Park et al.   Environmental Earth Sciences

GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey)

(2011) Cagatay Yilmaz et al.   Environmental Earth Sciences

Weights of evidence method for landslide susceptibility mapping. Prahova Subcarpathians, Romania

(2011) Iuliana Armaş   NATURAL HAZARDS

Mapping erosion susceptibility by a multivariate statistical method: A case study from the Ayvalık region, NW Turkey

(2010) Aykut Akgün et al.   COMPUTERS & GEOSCIENCES

Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey

(2010) H. A. Nefeslioglu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING